I can see this model work for AI problems that depend more on data / trained models than actual code or algorithm itself. It also makes sense for patented algor

I can see this model work for AI problems that depend more on data / trained models than actual code or algorithm itself. It also makes sense for patented algorithms (SIFT maybe), paying per instance solved might be cheaper/easier than dealing with licensing issues. Author is under impression that implementing algorithms is hard. Real problem is analysing and understanding the problem, implementation of the standard algorithms is the easiest part. If your problem is common enough to have its implementation as service, it's very likely there is free library anyway. Seriously, ask Dijkstra's shortest path at IOI (high school informatics olympiad), I'd bet half of students would get it 100% correct under an hour.